MANOR AI

Create an MVP for AI based property management product.

Updates

Best Western Hotels & Resorts now uses our product for internal management.

The Most Current Prototype


Market Research

Applied architectural expertise to guide market analysis.

Handoff to Engineer

Ensured smooth collaboration with engineers.

Time

November 23 - August 24

Managing repetitive inquires.

(maintenance requests, tenant application, etc)

Spending too much time on tasks.

Streamlining manage process.

Provide a platform that better reduces time and cost through simple workflows to address needs for landlords.

Goal
Solution

Tools

Manor AI is a property management product that helps landlord manage properties by automating tasks completion, time tracking and file management.

Team

4 designers, 2 eigineers

Background

101B

#A. My Task

#3. Task Archive

User Interview

Conducted interviews to gather user insights.

Fund Raising

Helped secure funding by presenting the project vision.

1 . Work Space

Tasks are automatically organized by type.

AI chatbot is available for users with inquiries and repetitive questions.

A built-in calendar allows for easy manual scheduling and tracking of upcoming tasks

A summary section provides a quick glimpse of task progress and completion status.

Archive Overview: Displays numbers like project amount, invoices and task need reviews, along with percentage changes compared to the past.

Each task card provides essential details, such as task agent, status, and related documents, with grid or list views.

#B. AI Agent Detail

#4. Chat History

Agent Overview: Displays key metrics like project amount, completed actions, and hours spent to give a quick summary of the agent's performance.

Data Visualization: A bar chart shows inquiries and completions over time.

Knowledge Access: A section to access relevant knowledge groups, allowing for quick reference and sharing.

Task in progress and completed tasks with time tracking, status, and involved agents, ensuring clear visibility.

AI Training: After discussions with engineers, we recognized the need to store all previous conversations. This data is now used to train our AI agent.

Users can continue using this window to reply to messages.

Solution
Responsibility

Working as a founding designer

Build partnership with industry leader.

From our previous project, Home Ginkgo, we attracted several landlords who expressed further interest in improving their property management experience. We identified 2 key user types: small business landlords managing a few investment properties and real estate professionals managing large numbers of units.

Real Estate Managers

Based on user interviews, we created user personas that helped us further understand the users and empathize their needs.

Landlords need automated tools to save time and reduce repetitive inquiries.

Real estate professionals value tools that centralize and organize information for large-scale operations.

Research
Define

Key Insights

Opportunity

2. Knowledge Group

Knowledge Group provides a space for users manually input and organize data to AI agents.

Access Control : Enables users to create new knowledge groups for managing access.

IMPACT

Secured $1M angle funding

I played a pivotal role in securing funding by engaging directly with investors and leveraging minimal resources to maximize investor interest.

Established a partnership with Best Western Hotels, where my team was hired to leverage Manor AI as the foundation for developing a new product, REV AI.

By refining our workspace and optimizing key user journeys, we boosted user acquisition and retention, driving a 46% growth in the user base over six months.

Research

Process

Competitor Analysis

We conducted an analysis of several PMS firms includes established players alongside emerging startups. This helped us prioritize the MVP elements for the first phase of development. After analyzing the competition, we marked few most used features as our target, showing with blue star.

Research

User Persona

User Interview

Small Business Landlords

Problem

We conducted 1:1 online interviews with 10 participants, discussing topics ranging from general property management challenges to specific product feedback. Below are a few key insights that stood out to us.

Research

What can we do to replace the jobs done by the current property managers?

Ideate

Information Architecture

Based on the research, the information architecture is structured into key sections: Dashboard, Workspace, Agent Market, and Knowledge,each serving specific user needs.

Ideate

A

We analyzed trending AI products with chat features to understand how they serve users. This help us determine how we can integrate similar features into our product.

A

How to organize repetitive tasks ?

Ideate

Issue : Users dislike the manual task completion status and desire for automated system to track progress.

Solution: Shifted focus to automate task tracking, removing the need for manual updates.

How to increase chatbot utilization?

Research

B

Issue: Adding an automated progress bar led to a cluttered interface with too much information displayed at once.

Solution: Reduced unnecessary details and adopted a cleaner layout to improve readability and focus.

Design System
Reflect

Next step

Reflect

Design

Handled wireframes to high-fidelity design.

Leadership

Recruited and mentored team interns.

Figma, Figjam

ACHIEVED 46% USER GROWTH

Takeways

Final Design

of property management industry market size in the US by 2022.

20.14B

Background - Users

of property management software market size in the US by 2022.

Our CEO notice a significant needs in the property management market and teamed up with a group to create a solution.

Final Design

After gathering user and stakeholder feedback, we simplified the interface to focus on task categories, case counts, and reference images. This streamlined approach reduces visual clutter and enhances usability.

B

We conducted interviews with 5 users to identify the best placement for the chat screen to improve utilization, we discovered that users rarely used the AI chatbot for property management, despite it being designed to help them complete tasks. The interview conclusion is moving the chat to the top improves visibility.

Placing the chat screen at the bottom further decrease the utilization rate.

Positioning the chat window at the right side improves utilization rate but hide the calendar tool.

System thinking for scale, streamline the design

  • Implement Predictive Analytics to anticipate user needs and enhance decision-making.

  • Continue exploring new features to meet landlords' needs while incorporating ongoing usability testing for continuous improvement.

  • Optimize and elevate the interface and user interface (UI) design.

  • Working at a startup requires embracing uncertainty and adapting to rapid changes.

  • Manor AI could benefit from greater user feedback and more engagement from stakeholders.

  • Collaborating closely with engineers taught me valuable lessons about the challenges and limitations of turning designs into functional products.

Next
Next

HomeGinkgo - Rental Platform